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Method in natural language processing
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation
Word_embedding
Models used to produce word embeddings
use this to explain some properties of word embeddings, including their use to solve analogies. The word embedding approach is able to capture multiple
Word2vec
Representation learning technique
In machine learning, embedding is a representation learning technique that maps complex, high-dimensional data into a lower-dimensional vector space of
Embedding_(machine_learning)
Representation in natural language processing
In natural language processing, a sentence embedding (or document embedding) is a representation of a natural language text as a vector of numbers which
Sentence_embedding
Algorithm for modelling sequential data
tokens, and each token is converted into a vector via lookup from a word embedding table. At each layer, each token is then contextualized within the scope
Transformer_(deep_learning)
Word embedding method
ELMo (embeddings from language model) is a word embedding method for representing a sequence of words as a corresponding sequence of vectors. It was created
ELMo
Identification of which sense of a word is being used
employ pre-computed word embeddings to represent word senses is to compute the centroids of sense clusters. In addition to word-embedding techniques, lexical
Word-sense_disambiguation
Embedding of data within a manifold based on a similarity function
A latent space, also known as a latent feature space or embedding space, is an embedding of a set of items within a manifold in which items resembling
Latent_space
Machine learning technique
"soft" weights assigned to each word in a sentence. More generally, attention encodes vectors called token embeddings across a fixed-width sequence that
Attention_(machine_learning)
represented by the word whose pre-trained word embedding vector is most similar to the average vector of the constituent words in that same chain. Word sense disambiguation
Lexical_chain
Series of language models developed by Google AI
describes the embedding used by BERTBASE. The other one, BERTLARGE, is similar, just larger. The tokenizer of BERT is WordPiece, which is a sub-word strategy
BERT_(language_model)
Branch of machine learning
classification, and others. Recent developments generalize word embedding to sentence embedding. Google Translate (GT) uses a large end-to-end long short-term
Deep_learning
Words which have been described as inherently funny
An inherently funny word is a word that is humorous without context, often more for its phonetic structure than for its meaning. Vaudeville tradition holds
Inherently_funny_word
2026 large language model by OpenAI
rewards used when training the "Nerdy" personality, which favored creature-word outputs and transferred beyond that personality during later training. OpenAI
GPT-5.5
Algorithm for obtaining vector representations of words
BERT, which add multiple neural-network attention layers on top of a word embedding model similar to Word2vec, have come to be regarded as the state of
GloVe
Set of learning techniques in machine learning
data types. Word2vec is a word embedding technique which learns to represent words through self-supervision over each word and its neighboring words in
Feature_learning
Topics referred to by the same term
Look up embedded, embed, or embedding in Wiktionary, the free dictionary. Embedded, embedding, imbedded or imbedding may refer to: Embedding, one instance
Embedded
Technique for dimensionality reduction
t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location
T-distributed stochastic neighbor embedding
T-distributed_stochastic_neighbor_embedding
Type of database that uses vectors to represent other data
using machine learning methods such as feature extraction algorithms, word embeddings or deep learning networks. The goal is that semantically similar data
Vector_database
Structuring text as input to generative artificial intelligence
optimization process to create a new word embedding based on a set of example images. This embedding vector acts as a "pseudo-word" which can be included in a
Prompt_engineering
Intelligence of machines
language structure. Modern deep learning techniques for NLP include word embedding (representing words, typically as vectors encoding their meaning), transformers
Artificial_intelligence
Inclusion of font files inside an electronic document
Font embedding is the inclusion of font files inside an electronic document for display across different platforms. Font embedding is controversial because
Font_embedding
Machine learning model for speech
error rate with respect to transcribing different languages, with a higher word error rate in languages not well-represented in the training data. The authors
Whisper (speech recognition system)
Whisper_(speech_recognition_system)
Word processor
creation and embedding of screenshots, and integrates with online services such as Microsoft OneDrive. Word 2019 added a dictation function. Word 2021 added
Microsoft_Word
Subtopic of natural language processing in artificial intelligence
computer could understand simple natural language input to solve algebra word problems. A year later, in 1965, Joseph Weizenbaum at MIT wrote ELIZA, an
Natural language understanding
Natural_language_understanding
Textual emotion detection method
Mutual Information" for Semantic Orientation, semantic space models or word embedding models, and deep learning. More sophisticated methods try to detect
Sentiment_analysis
Document file format developed by Microsoft
Microsoft Object Linking and Embedding (OLE) objects and Macintosh Edition Manager subscriber objects allow embedding of other files inside the RTF,
Rich_Text_Format
Reverse-engineering neural networks
in the activation space of neural networks. Empirical evidence from word embeddings and large language models supports this view, although it does not
Mechanistic_interpretability
Image generation algorithm
Inversion proposes to optimize a new word-embedding vector for representing the novel concept. This new embedding vector can then be assigned to a user-chosen
Text-to-image_personalization
Wiki criticizing religion and pseudoscience
to great masses of people". A 2019 study of bias analysis based on word embedding in RationalWiki, Conservapedia, and Wikipedia by researchers from RWTH
RationalWiki
Difficulties arising when analyzing data with many aspects ("dimensions")
S2CID 206592766. Yin, Zi; Shen, Yuanyuan (2018). "On the Dimensionality of Word Embedding" (PDF). Advances in Neural Information Processing Systems. 31. Curran
Curse_of_dimensionality
Content management system
WordPress (WP, or WordPress.org) is a web content management system. It was originally created as a tool to publish blogs but has evolved to support publishing
WordPress
2020 text-generating language model
Microsoft, however, will have access to GPT-3's underlying code, allowing it to embed, repurpose, and modify the model as it pleases. "An understanding of AI's
GPT-3
Image-generating deep learning model
using alternative phrases that result in a similar output. For example, the word "blood" is filtered, but "ketchup" and "red liquid" are not. Another concern
DALL-E
2017 research paper by Google
the word, the current dimension index, and the dimension of the model, respectively. The sine function is used for even indices of the embedding while
Attention_Is_All_You_Need
Word order common in Germanic languages
use V2 order in embedded clauses, with a few exceptions. In particular, German, Dutch, and Afrikaans revert to VF (verb final) word order after a complementizer;
V2_word_order
Topics referred to by the same term
operations Image tracing, the creation of vector from raster graphics Word embedding, mapping words to vectors, in natural language processing Vectorization
Vectorization
Estimate of the importance of a word in a document
potentially leading to improved accuracy in text classification tasks. Word embedding Kullback–Leibler divergence Latent Dirichlet allocation Latent semantic
Tf–idf
Biomedical text analysis to extract relevant information and knowledge
features or vocabularies, though methods incorporating deep learning and word embeddings have also been successful at biomedical NER. Biomedical documents may
Biomedical_text_mining
internet and word embedding to create a numeric vector to represent each word. Users were surprised at how well it was able to capture word meanings, for
History of artificial intelligence
History_of_artificial_intelligence
Type of knowledge base
interrelationships, and facilitate operations such as data reasoning, node embedding, and ontology development on knowledge bases. In contrast, virtual knowledge
Knowledge_graph
English linguist (1890-1960)
"you shall know a word by the company it keeps" / "a word is characterized by the company it keeps" inspired works on word embedding hence had a major
John_Rupert_Firth
Field of linguistics
database Gensim Phraseme Random indexing Sentence embedding Statistical semantics Word2vec Word embedding Scott Deerwester Susan Dumais J. R. Firth George
Distributional_semantics
Type of machine learning model
sequence into an embedding. On tasks such as structure prediction and mutational outcome prediction, a small model using an embedding as input can approach
Large_language_model
Topics referred to by the same term
The Carter Center Elmo (shogi engine), computer shogi engine ELMo, a word embedding method created by researchers at the Allen Institute for Artificial
Elmo_(disambiguation)
Canadian computer scientist (born 1964)
probabilistic language model, which learned distributed representations (word embeddings) for words to overcome the "curse of dimensionality" in natural language
Yoshua_Bengio
American psychologist (1927–2006)
Twitter Sentiment Analysis by Combining Plutchik Wheel of Emotion and Word Embedding". International Journal of Information Technology. 14 (1): 69–77. doi:10
Robert_Plutchik
Graph that can be embedded in the plane
planar graph. A 1-outerplanar embedding of a graph is the same as an outerplanar embedding. For k > 1 a planar embedding is k-outerplanar if removing the
Planar_graph
Format for expressing RDF statements in HTML documents
for embedding rich metadata within web documents. The Resource Description Framework (RDF) data-model mapping enables the use of RDFs for embedding RDF
RDFa
Indo-Aryan language
July 2024). "Semantic proximity assessment in Bhojpuri and Maithili: a word embedding perspective". Social Network Analysis and Mining. 14 (1): 130. doi:10
Bhojpuri_language
Process of categorizing documents
Meyer, B. (2017). From social media to public health surveillance: Word embedding based clustering method for twitter classification. SoutheastCon 2017
Document_classification
mathematical embedding from a space with many dimensions per geographic object to a continuous vector space with a much lower dimension. Such embedding methods
Spatial_embedding
Constructed alien languages
center embedding in sentences, which involves the embedding of a clause into the middle of another clause of the same type. Although center embedding is a
Heptapod_languages
Tibeto-Burman language of India
ALBERT model available for Meitei language. EM-FT is also FastText word embedding available for Meitei language. These resources were created by Rudali
Meitei_language
Processing of natural language by a computer
replaced traditional statistical approaches, using semantic networks and word embeddings to capture semantic properties of words. Intermediate tasks (e.g.,
Natural_language_processing
Quantum computing applied to natural language processing
quantum computing to natural language processing (NLP). It computes word embeddings as parameterised quantum circuits that can solve NLP tasks faster than
Quantum natural language processing
Quantum_natural_language_processing
Collection of masculist and misogynistic websites and forums
Fernandez, Miriam; Alani, Harith (2020). "On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit's Manosphere" (PDF). WebSci
Manosphere
library ELKI — data mining and unsupervised learning software fastText — Word embeddings developed by Meta AI Flux — machine learning library for the Julia
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Hypothesis of language influencing thought
independent trials. Additionally, a large-scale data analysis using word embeddings of language models found no correlation between adjectives and inanimate
Linguistic_relativity
Programming library
fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab. The model allows one to create
FastText
Statistical model of language
sparsity problem that the preceding model (i.e. word n-gram language model) faced. Words represented in an embedding vector were not necessarily consecutive anymore
Language_model
Algorithm used to generate large numbers of domain names
portion of these with the purpose of receiving an update or commands. Embedding the DGA instead of a list of previously-generated (by the command and
Domain_generation_algorithm
Technology developed by Microsoft
Object Linking and Embedding (OLE) is a proprietary technology developed by Microsoft that allows embedding and linking to documents and other objects
Object_Linking_and_Embedding
Dutch psychologist
brief bio". Franz Lisp. Retrieved 14 November 2015. "The Science and Practical Applications of Word Embeddings". insidebigdata.com. v t e v t e v t e
Jans_Aasman
using a recurrent neural network, encoded each word in a training set as a vector, called a word embedding, and the whole vocabulary as a vector database
History of natural language processing
History_of_natural_language_processing
Dimensionality reduction of graph-based semantic data objects [machine learning task]
embedding of the head from the embedding of tail given the embedding of the relation. In other words, it quantifies the plausibility of the embedded representation
Knowledge_graph_embedding
Type of neural network which utilizes recursion
(mainly continuous representations of phrases and sentences based on word embeddings). In the simplest architecture, nodes are combined into parents using
Recursive_neural_network
Concept in natural language processing
approaches and refinements of approaches have been considered, such as word embedding, logical models, graphical models, rule systems, contextual focusing
Textual_entailment
Concept in natural language processing
Santambrogio, Marco D. (2019). "Fast and Accurate Entity Linking via Graph Embedding". Proceedings of the 2nd Joint International Workshop on Graph Data Management
Entity_linking
Mathematical result
points are nearly preserved. In the classical proof of the lemma, the embedding is a random orthogonal projection. The lemma has applications in compressed
Johnson–Lindenstrauss_lemma
Word processing application
WordPerfect (WP) is a word processing application, now owned by Corel. At the height of its popularity in the 1980s and early 1990s, it was the market
WordPerfect
Artificial intelligence algorithm
news detection Game playing Batteryless sensing Recommendation systems Word embedding ECG analysis Edge computing Bayesian network learning Federated learning
Tsetlin_machine
Interdisciplinary field
Laurianne (2020-01-29). "Computational opposition analysis using word embeddings: A method for strategising resonant informal argument". Argument &
Computational_semiotics
Discontinued embedded operating system by Microsoft
known as Windows Embedded CE and Windows Embedded Compact, is a discontinued operating system developed by Microsoft for mobile and embedded devices. Originally
Windows_CE
In group theory, Higman's embedding theorem states that every finitely generated recursively presented group R can be embedded as a subgroup of some finitely
Higman's_embedding_theorem
Contextual queries
Framework Natural language search engine Semantic query Vector database Word embeddings Bast, Hannah; Buchhold, Björn; Haussmann, Elmar (2016). "Semantic search
Semantic_search
being encoded in word embeddings, which are trained using a wide range of text. These word embeddings are the representation of a word as an array of numbers
Representational_harm
Process of analysing text to extract information from it
advanced programmers, there's also the Gensim library, which focuses on word embedding-based text representations. Text mining is being used by large media
Text_mining
List of concepts in artificial intelligence
task. weak supervision See semi-supervised learning. word embedding A representation of a word in natural language processing. Typically, the representation
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Automatic analysis of syntactic structure of natural language
such as by using a recurrent neural network or transformer on top of word embeddings. In 2022, Nikita Kitaev et al. introduced an incremental parser that
Syntactic parsing (computational linguistics)
Syntactic_parsing_(computational_linguistics)
Form of human-machine interaction using multiple modes of input/output
another. On a mobile device with a small visual interface and keypad, a word may be quite difficult to type but very easy to say (e.g. Poughkeepsie).
Multimodal_interaction
Sentence structure; the default word order in English
that comes before the V need not be the subject. In Kashmiri, the word order in embedded clauses is conditioned by the category of the subordinating conjunction
Subject–verb–object word order
Subject–verb–object_word_order
Name embedding the name of a god
of the person so named in relation to that deity. For example, names embedding Apollo, such as Apollonios or Apollodorus, existed in Greek antiquity
Theophoric_name
Implementation of Microsoft's event-driven programming language Visual Basic 6
of earlier application-specific macro programming languages such as Word's WordBASIC. It can be used to control many aspects of the host application
Visual_Basic_for_Applications
Taking in the meaning of letters or symbols
and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), punctuation, alphabetics, phonics, phonemic
Reading
Problem in finite group theory
{\displaystyle H} has solvable word problem, then at least one of these homomorphisms must be an embedding. So given a word w {\displaystyle w} in the generators
Word_problem_for_groups
Open specification for embedding website content
oEmbed is an open format designed to allow embedding content from a website into any webpage. The specification was created by Cal Henderson, Leah Culver
OEmbed
Model for representing text documents
package for Java including WordVectors and Bag Of Words models. Word2vec. Word2vec uses vector spaces for word embeddings. The Generalized vector space
Vector_space_model
Form of figurative language
alogies_to_explain_electric_circuits harshbachhav (1 April 2025). "Word Embeddings and Analogy Reasoning: A Technical Deep Dive". Medium. Retrieved 8
Analogy
Method of referencing visual computer data
areas without repetitive embedding of links in the various skin elements. Text hyperlink. Hyperlink is embedded into a word or a phrase and makes this
Hyperlink
Software application for mathematical notation
equations as images and embedding those images into documents. As on Windows, there is a plugin for Microsoft Word for Mac (except for Word 2008) that adds equation
MathType
Word processor application
WordStar is a discontinued word processor application for microcomputers. It was published by MicroPro International and originally written for the CP/M-80
WordStar
Text query method in information retrieval
used to find related terms at query time, using semantic vectors or word embeddings. More generally, query expansion, with its counterpart document expansion
Query_expansion
Extinct language of Texas and Mexico
Coahuilteco's less common syntactic traits: subject-object concord and center-embedding relative clauses. In each of these sentences, the object Dios 'God' is
Coahuilteco_language
Meaningful representation of natural language
Stanford University, and fastText from Facebook AI Research (FAIR) labs. Word embedding Semantic folding Distributional–relational database also referred to
Semantic_space
Human. Melamud, Oren; Levy, Omer; Dagan, Ido (5 June 2015). "A Simple Word Embedding Model for Lexical Substitution". Proceedings of NAACL-HLT 201: 1–7.
Lexical_substitution
Muran language
even the limited form of embedding in the example above as parataxis. He now states that Pirahã does not admit any embedding at all, not even one level
Pirahã_language
Software library for natural language processing
(2015). sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings. Official website Implementing Spacy Library
SpaCy
Filipino physicist and former child prodigy
C. M., & Dodds, P. S. (2021). Augmenting semantic lexicons using word embeddings and transfer learning. ArXiv:2109.09010 [Physics]. http://arxiv.org/abs/2109
Mikaela_Fudolig
American computer scientist
[when?] Kalai is known for identifying and reducing gender bias in word embeddings, which are a representation of words commonly used in AI systems. In
Adam_Tauman_Kalai
WORD EMBEDDING
WORD EMBEDDING
Male
English
English surname transferred to forename use, from the Old English word ford, FORD means "ford, river crossing."
Surname or Lastname
English and Scottish
English and Scottish : mainly a topographic name for someone who lived in or by a wood or a metonymic occupational name for a woodcutter or forester, from Middle English wode ‘wood’ (Old English wudu).English and Scottish : nickname for a mad, eccentric, or violent person, from Middle English wÅd ‘mad’, ‘frenzied’ (Old English wÄd), as in Adam le Wode, Worcestershire 1221.
Surname or Lastname
English
English : variant of Herd.Respelling of Swedish HÃ¥rd (see Hard 2).
Surname or Lastname
Norwegian
Norwegian : variant spelling of Vold (see Voll).English : topographic name for someone who lived on any of the areas of open upland known from Middle English times onwards as wolds (e.g. the Yorkshire Wolds or the Cotswolds). This term derives from Old English wald ‘forest’ (see Wald). After the extensive clearance of forests in England, from before the Norman Conquest onward, the Old English term wald came to denote open uplands (wolds) in Middle English in certain areas of England.
Female
Scandinavian
Short form of Scandinavian Tordis, TORD means "Thor's goddess" or "Thor's woman."
Male
English
Short form of English Gordon, GORD means "spacious fort."
Male
English
 English occupational surname transferred to forename use, derived from Old English weard, WARD means "guard, watchman."Â
Boy/Male
Muslim
Blossoms, Flowers
Surname or Lastname
Scottish
Scottish : habitational name from the lands of Work in the parish of St. Ola, Orkney.English : from Old English (ge)weorc ‘work’, ‘fortification’, hence probably a topographic name or an occupational name for someone who worked on fortifications or at a fort.Danish : habitational name from a place so called.
Surname or Lastname
German and Danish
German and Danish : variant of Wurm.English : nickname from Middle English wurm ‘serpent’, ‘dragon’ (Old English wyrm).
Boy/Male
Teutonic American English Irish
Guard.
Surname or Lastname
English
English : unexplained; perhaps a variant of Gourd.
Surname or Lastname
German (Wörl)
German (Wörl) : variant of Wehrle.English : perhaps a habitational name for someone from Worle in Somerset, which is most probably named with Old English wÅr ‘wood grouse’ + lÄ“ah ‘wood’, ‘(woodland) clearing’.
Girl/Female
Shakespearean
The Merry Wives of Windsor' Mistress Ford.
Surname or Lastname
English
English : topographic name for someone who lived near a ford, Middle English, Old English ford, or a habitational name from one of the many places named with this word, such as Ford in Northumberland, Shropshire, and West Sussex, or Forde in Dorset.Irish : Anglicized form (quasi-translation) of various Gaelic names, for example Mac Giolla na Naomh ‘son of Gilla na Naomh’ (a personal name meaning ‘servant of the saints’), Mac Conshámha ‘son of Conshnámha’ (a personal name composed of the elements con ‘dog’ + snámh ‘to swim’), in all of which the final syllable was wrongly thought to be áth ‘ford’, and Ó Fuar(th)áin (see Foran).Jewish : Americanized form of one or more like-sounding Jewish surnames.Translation of German Fürth (see Furth).
Surname or Lastname
English
English : occupational name for a watchman or guard, from Old English weard ‘guard’ (used as both an agent noun and an abstract noun).Irish : reduced form of McWard, an Anglicized form of Gaelic Mac an Bhaird ‘son of the poet’. The surname occurs throughout Ireland, where three different branches of the family are known as professional poets.Surname adopted by bearers of the Jewish surname Warshawski, Warshawsky or some other Jewish name bearing some similarity to the English name.Americanized form of French Guerin.The surname Ward was brought to North America from England independently by several different bearers in the 17th and 18th centuries. Nathaniel Ward (1578–1652), author of the MA legal code, was born in Haverhill, Suffolk, England, and emigrated to Agawam (Ipswich, MA) in 1633. William Ward was one of the original settlers of Sudbury, MA, in about 1638. Miles Ward came from England to Salem, MA, in about 1639. Thomas Ward (d. 1689) settled in Newport, RI, in 1671; among his descendants were two governors of colonial RI.
Surname or Lastname
English
English : nickname from the vocabulary word lord, presumably for someone who behaved in a lordly manner, or perhaps one who had earned the title in some contest of skill or had played the part of the ‘Lord of Misrule’ in the Yuletide festivities. It may also have been an occupational name for a servant in the household of the lord of the manor, or possibly a status name for a landlord or the lord of the manor himself. The word itself derives from Old English hlÄford, earlier hlÄf-weard, literally ‘loaf-keeper’, since the lord or chief of a clan was responsible for providing food for his dependants.Irish : English name adopted as a translation of the main element of Gaelic Ó Tighearnaigh (see Tierney) and Mac Thighearnáin (see McKiernan).French : nickname from Old French l’ord ‘the dirty one’.Possibly an altered spelling of Laur.The French name is particularly associated with Acadia in Canada, around 1760.
Surname or Lastname
English
English : unexplained.
Boy/Male
American, British, Danish, English, Finnish, German, Swedish
Bold Adviser; Wise; Courageous Advice; Cord Maker; Wise Counsel; Honest Adviser; Surname
Surname or Lastname
English (Northumbria) and Scottish
English (Northumbria) and Scottish : habitational name from East Ord in Northumberland, named with Old English ord ‘point’. Compare Ort 3.English : from a Germanic personal name (see Ort 2).Scottish : habitational name from various minor places named with Gaelic ord ‘hammer’, used as a topographical term for a rounded hill.
WORD EMBEDDING
WORD EMBEDDING
Girl/Female
Hindu
Boy/Male
Hindu
Mouth of a serpent
Girl/Female
Tamil
River Sharayu
Girl/Female
Australian, Latin
Lover of Man
Male
Italian
Italian form of Late Latin Jacomus (English James), GIACOMO means "supplanter."
Boy/Male
Hindu, Indian
Shine with Brightness
Girl/Female
Indian, Punjabi, Sikh
World Lord
Boy/Male
Hindu
Boy/Male
Bengali, Hindu, Indian, Kannada, Malayalam, Marathi, Sanskrit, Telugu
Fortnight; Symbolizing the Phases of Moon
Boy/Male
Christian & English(British/American/Australian)
Brazen Mouth
WORD EMBEDDING
WORD EMBEDDING
WORD EMBEDDING
WORD EMBEDDING
WORD EMBEDDING
adv.
With close adherence to words; word by word.
v. t.
To produce or form by labor; to bring forth by exertion or toil; to accomplish; to originate; to effect; as, to work wood or iron into a form desired, or into a utensil; to work cotton or wool into cloth.
superl.
Of or pertaining to words; consisting of words; verbal; as, a wordy war.
v. t.
To flatter with words; to cajole.
v. t.
To supply with wood, or get supplies of wood for; as, to wood a steamboat or a locomotive.
n.
See Wood worm, under Wood.
a.
Respecting words; full of words; wordy.
n.
One who cavils at words.
n.
The word or words governed.
n.
Hence, the written or printed character, or combination of characters, expressing such a term; as, the words on a page.
n.
Anything spiral, vermiculated, or resembling a worm
superl.
Using many words; verbose; as, a wordy speaker.
v. i.
To use words, as in discussion; to argue; to dispute.
superl.
Containing many words; full of words.
v. i.
To work slowly, gradually, and secretly.
v. t.
To arrange (wood, etc.) in a pile for measurement by the cord.
n.
A title bestowed on the persons above named; and also, for honor, on certain official persons; as, lord advocate, lord chamberlain, lord chancellor, lord chief justice, etc.
v. t.
To express in words; to phrase.
n.
A wood; a forest.
v. t.
To ply with words; also, to cause to be by the use of a word or words.